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Memory Optimization and Reliable Metrics in ML Pipelines at Netflix
Key Metrics of Netflix
Robust Foundation for Data Pipelines at Scale - Lessons from Netflix
Automating and Optimizing Data-Centric What-If Analyses on Native Machine Learning Pipelines
Autoscaling Flink at Netflix - Timothy Farkas
MatFast: In Memory Distributed Matrix Computation Processing and Optimization - Yanbo Liang
Actionable Metrics - Enabling Decision-Making in Netflix’s Decentralized Environment
Kafka in 100 Seconds
Cache Systems Every Developer Should Know
System Design Concepts Course and Interview Prep
How good is your classifier? Revisiting the role of evaluation metrics in machine learning
Massive Scale Data Processing at Netflix using Flink - Snehal Nagmote & Pallavi Phadnis
